Head to head

Grok 4.3 vs Mistral Large 3

Grok 4.3 (xAI) and Mistral Large 3 (Mistral) compared on intelligence, speed, context, and price — and which to choose. Both run on just4o.chat from one chat.

MetricGrok 4.3Mistral Large 3
Intelligence (AA index)3816
Output speed (tokens/sec)129.349.1
Context window1M256K
Max output1M
Input price / 1M$1.25$0.5
Output price / 1M$2.5$1.5
Released2026-042025-12

Choose Grok 4.3 if you want…

  • Higher intelligence (Artificial Analysis index 38)
  • Faster output (~129.3 tokens/sec)
  • Larger context window (1M)

Choose Mistral Large 3 if you want…

  • Lower price ($0.75 / 1M blended)

Grok 4.3

Grok 4.3 made a deliberate trade: xAI stopped chasing frontier performance and built something more practical instead. The result is a model that earns its keep through native X/Twitter integration — pulling posts seconds old when news breaks — and a 1 million token context window that handles entire codebases or lengthy regulatory documents in a single pass. At $1.25 per million input tokens, it arrives 40-60% cheaper than its predecessor Grok-4, and users find real value in its DeepSearch mode, which combines live web data with X discussions in a way that rivals Perplexity for current-events research. Frontend developers report genuinely polished web UI output, moving past the "cheap AI demo" look. The honest trade-off: creative writers consistently find it too literal and verbose, and its 16-second time-to-first-token sits at the high end for reasoning models in this price range. If your work is anchored in real-time information or long-document analysis rather than narrative craft, Grok 4.3 offers a focused, cost-sensible tool.

Full Grok 4.3 details →

Mistral Large 3

Mistral Large 3 is the French lab's flagship dense model, and on just4o.chat it runs through the Vercel AI Gateway under the mistral/mistral-large-3 route. It pairs strong general reasoning with the multilingual fluency Mistral is known for — European languages in particular — and reliable function calling for tool-driven workflows. A 256k-token context window is roomy enough for long documents, multi-file code, or extended chats without truncation, and at $0.50 per million input and $1.50 per million output tokens it sits at the affordable end of frontier-class models. On just4o.chat it is a base-tier model available on every plan, billed at 2 base requests per send before length multipliers. One practical note worth flagging up front: like the rest of the Mistral lineup here, it has no native web search, and it is text-only — no image input. For teams that want a capable, cost-disciplined generalist with first-rate multilingual handling, it is an easy default.

Full Mistral Large 3 details →

FAQ

Which is better, Grok 4.3 or Mistral Large 3?

Grok 4.3 leads on 3 of the headline metrics (higher intelligence (artificial analysis index 38); faster output (~129.3 tokens/sec); larger context window (1m)), while Mistral Large 3 wins on lower price ($0.75 / 1m blended). The right pick depends on whether you prioritise capability, speed, or cost.

Is Grok 4.3 or Mistral Large 3 cheaper?

Mistral Large 3 is cheaper at $0.75 per 1M tokens (blended), versus $1.56.

Can I use both Grok 4.3 and Mistral Large 3?

Yes. Both are available on just4o.chat from a single chat — you can switch between them per message with no separate subscriptions.